Continue vs Voiceflow

Side-by-side comparison to help you choose the best tool.

Continue

free

4.4 / 5.0

Continue is an open-source AI coding assistant that connects any LLM to VS Code and JetBrains, enabling developers to customise their AI coding experience with any model - local or cloud. It provides autocomplete, chat, and edit modes, and supports integration with local models via Ollama. Continue is popular with developers who want full control over their AI coding setup without vendor lock-in.

Best for: Developers wanting full control over their AI coding assistant — choosing any LLM, including local models, with zero vendor lock-in

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Voiceflow

freemium

4.5 / 5.0

Voiceflow is a collaborative platform for designing, prototyping, and deploying AI agents and chatbots across voice, chat, and messaging channels. Its intuitive canvas lets product and CX teams design complex agent flows visually, then developers deploy them via API or pre-built integrations. Voiceflow is the tool of choice for teams that want to prototype and iterate on conversational AI experiences quickly without writing boilerplate code.

Best for: Product and CX teams that need to design, prototype, and iterate on AI agent experiences collaboratively before handing off to engineering

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Feature Comparison

Feature	Continue	Voiceflow
Pricing	free	freemium
Category	-	-
Rating	★★★★☆ 4.4	★★★★½ 4.5
Best For	Developers wanting full control over their AI coding assistant — choosing any LLM, including local models, with zero vendor lock-in	Product and CX teams that need to design, prototype, and iterate on AI agent experiences collaboratively before handing off to engineering
Views	4	4

Pros & Cons — Continue

Pros

Completely free and open-source
Use any LLM including local models via Ollama
Full customisation and no vendor lock-in

Cons

More setup than Copilot or Codeium
Quality depends on LLM choice

Pros & Cons — Voiceflow

Pros

Best visual design tool for conversational AI
Enables collaboration between design and engineering
Fast prototyping cuts agent development time

Cons

More design tool than production platform — deployment requires additional work
Pricing rises quickly for large teams

Key Features — Continue

Open-source AI coding assistant
Any LLM support (cloud & local)
Ollama local model integration
VS Code & JetBrains plugins
Customisable context & prompts

Key Features — Voiceflow

Visual agent canvas for collaboration
Multi-channel (voice, chat, messaging)
LLM integration & knowledge base
Component library & templates
Developer API for custom deployment

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